Video encoding

ABSTRACT

A system can include a given video processing engine to determine an estimated Quantization Parameter (QP) for a given row of Coding Tree Units (CTUs) in a frame of a video. The given processing engine can also encode the given row of CTUs in the frame of the video. A CTU in the given row of CTUs can be encoded with a QP equal to the estimated QP. The system can include another video processing engine to determine an estimated QP for another row of CTUs of the frame of the video. The other processing engine can also set a running QP to the estimated QP for the given row of CTUs prior to the given video processor encoding a last CTU in the given row of CTUs. The other processing engine can further encode the other row of CTUs. CTUs encoded by the given video processing engine and the other video processing engine can be stored in a non-transitory machine readable medium.

TECHNICAL FIELD

This disclosure relates to systems and methods for implementing videoencoding. More particularly, this disclosure relates to systems andmethods for implementing video encoding on two or more video processingengines.

BACKGROUND

Video encoding is the process of compressing digital video files. Videosviewed on computers, tablets, mobile phones and set-top boxes go throughan encoding process to convert the original “source” video to acompressed format which requires less space for storage and lessbandwidth for transmission than the original source video. This processcan also be referred to as “transcoding” or “video conversion”.

A video encoding scheme can include a rate control algorithm that candynamically adjust encoder parameters to achieve a target bitrate. Therate control algorithm can allocate a budget of bits to each group ofpictures, individual picture and/or sub-picture in a video sequence.

SUMMARY

This disclosure relates to systems and methods for implementing videoencoding. More particularly, this disclosure relates to systems andmethods for concurrently encoding rows of Coding Tree Units (CTUs) of aframe of video on two or more video processing engines.

One example relates to a system that can include a given videoprocessing engine to determine an estimated Quantization Parameter (QP)for a given row of Coding Tree Units (CTUs) in a frame of a video. Thegiven processing engine can also encode the given row of CTUs in theframe of the video. A CTU in the given row of CTUs can be encoded with aQP equal to the estimated QP. The system can include another videoprocessing engine to determine an estimated QP for another row of CTUsof the frame of the video. The other processing engine can also set arunning QP to the estimated QP for the given row of CTUs prior to thegiven video processor encoding a last CTU in the given row of CTUs. Theother processing engine can further encode the other row of CTUs. CTUsencoded by the given video processing engine and the other videoprocessing engine can be stored in a non-transitory machine readablemedium.

Another example relates to a non-transitory machine readable mediumhaving instructions for implementing a method. The method can includeencoding, at the given video processing engine, a QP equal to anestimated QP for a given row of CTUs of a video frame into a CTU of thegiven row of CTUs. The method can also include estimating, at anothervideo processing engine, a QP for another row of CTUs of the videoframe. The method can further include setting, at the other videoprocessing engine, a running QP for the other row of CTUs to theestimated QP for the given row of CTUs. The method can yet furtherinclude encoding, at the other video processing engine, the other row ofCTUs. The encoding of the other row of CTUs can be initiated prior tocompletion of the encoding of the given row of CTUs. CTUs encoded by thegiven video processing engine and the other video processing engine canbe stored in a non-transitory memory.

Yet another example relates to a method that can include setting arunning QP for a given row of CTUs of a video frame, to an estimated QPfor another row of CTUs of the video frame. The method can also includeencoding the given and the other rows of CTUs concurrently. A QP equalto the estimated QP for the other row of CTUs can be encoded into a CTUof the other row of CTUs. The method can further include storing theencoded CTUs into a non-transitory machine readable medium.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates an example of a video processor for encoding videodata.

FIG. 2 illustrates an example of a frame of a video being encoded.

FIG. 3 illustrates a flowchart of an example of algorithm for an encoderto encode video data.

FIG. 4 illustrates a flowchart of an example of a portion of thealgorithm for the encoder illustrated in FIG. 3 for encoding a CodingTree Unit (CTU).

FIG. 5 illustrates another flowchart of an example of a portion of therate algorithm for the encoder illustrated in FIG. 3 for a CTU.

FIG. 6 illustrates a flowchart of an example of a method for encodingvideo data.

DETAILED DESCRIPTION

Systems and methods are described for encoding video data with amulti-core and/or a multiprocessor video encoding processor. The systemcan include a given video processing engine (e.g., a processor core) andanother video processing engine (e.g., another processor core). Thefirst video processor can determine an estimated Quantization Parameter(QP) for a given row of Coding Tree Units (CTUs) in a frame of video andencode the given row of CTUs in a frame of video, and a CTU in the givenrow of CTUs is encoded with a QP equal to the estimated QP. The othervideo processor can estimate a QP for another row of CTUs and encode theother row of CTUs. The QP encoded into the last CTU of given row of CTUscan be employed to facilitate encoding of the other row of CTUs. In somesituations, such as situations where all the CTUs in the given row ofCTUs are skipped, the given processor can be forced to encode the QP ina last CTU of the given row, such that this encoded QP can still beemployed by the other processor to facilitate encoding the other row ofCTUs.

In this manner, the given and the other video processing engines canoperate in parallel. By implementing the system in the manner describedherein, the rows of CTUs of the video can be efficiently encoded inparallel (e.g., concurrently and out of raster-order) while maintainingcompliance with predefined format standards such as the High EfficiencyVideo Coding (HEVC) format.

FIG. 1 illustrates a block diagram of a video processor 50 for encodingvideo data (e.g., a video stream or a video file). The video processor50 can be implemented as a video encoder. The video processor 50 couldbe a general purpose computing processor or Application SpecificIntegrated Circuit (ASIC) chip. In some examples, the video processor 50could be implemented as programmable circuitry that can be configured toperform multiple functions. In other examples, the video processor 50can be implemented as machine readable instructions (e.g., software)executed by a processing device. In yet another example, the videoprocessor 50 is a combination of a hard wired processor and machinereadable instructions implemented on a processing device. The videoprocessor 50 could be implemented as a HEVC encoder, such as accordingto the ITU-T H.265 standard or the Moving Pictures Experts Group 4(MPEG-4) Advanced Video Coding (AVC) format according to the ITU-T H.264standard, which are incorporated herein by reference.

The video processor 50 can include N number of video processing engines52, where N is an integer greater than or equal to two (2). The videoprocessing engines 52 can include a first video processing engine 54, asecond video processing engine 56 and an Nth video processing engine 58.Each video processing engine 52 can be implemented as a processor coreof a common integrated circuit (IC) chip. It is noted that in someexamples, the video processor 50 can be representative of multiple ICchips. In such a situation, each of the video processing engines 52 (orsome subset thereof) can be implemented on discrete IC chips.

Each of the video processing engines 52 can communicate with each othervia a data bus 60. Additionally, each of the video processing engines 52can access a memory 62. The memory 62 can be a non-transitory machinereadable medium, such as volatile or nonvolatile random access memory(RAM). The memory 62 could be representative, for example of a datacache. Each of the video processing engines 52 can read and write datato the memory 62. The memory 62 can include input video data 64 that canbe provided from another source (e.g., a video source). The video sourcecould be an external system, such as a computing device, a digitalcamera or nearly any other system capable of providing digitized videodata to the video processor 50. The input video data 64 can characterizea digital representation of a plurality of consecutive video frames thatcollectively form a video stream or a video file.

The video processor 50 can include a controller 66 that can control theoperations of the video processing engines 52. In some examples, theoperations of the controller 66 can be implemented on one or more of theN video processing engines 252 (e.g., the first video processing engine54). In other examples, the controller 66 can be implemented on aseparate processor core and/or as logic circuitry of the video processor50. The controller 66 can include logic for interfacing the videoprocessor 50 with external systems. In some examples, the controller 66can control a data flow between the memory 62 and the external systems.

The input video data 64 can be formatted in a specific format, such asthe Movie Pictures Experts Group 2 (MPEG-2) format, a lossless codingformat such as the MPEG-4 Scalable Lossless Coding format, etc. In otherexamples, the input video data 64 can represent raw, uncompressed videodata. The video processor 50 can encode (e.g., transcode and/orcompress) the input video data 64 into a specific format, such as theHEVC format defined by the H.265 standard or the MPEG-4 AVC formatdefined by the H.264 standard. The encoding can be performed in aframe-by-frame operation. More particularly, the video processingengines 52 of the video processor 50 can implement parallel row-level(or group row-level) video encoding. That is, each of the videoprocessing engines 52 can encode a row (or group of rows) of a videoframe concurrently. The encoding can be implemented, for example, with arate control algorithm implemented by the video processor 50. The ratecontrol algorithm can dynamically adjust parameters of the encodingprocess to achieve a target bitrate, while ensuring the encoded datacomplies with the HEVC format.

In an extended given example, (hereinafter, “the given example”) it ispresumed that there are three (3) video processing engines 52, such thatN is equal to three (3). However, in other examples, more or less videoprocessing engines 52 can be implemented.

FIG. 2 illustrates a video frame 100 that is being encoded by the videoprocessor 50 of FIG. 1 in the given example. The frame 100 can besegmented (e.g., by the controller 66) into Coding Tree Units (CTUs)102. The encoding by the video processor 50 can also be implemented witha mode decision algorithm (module). The mode decision algorithm candetermine how and if each CTU 102 (or some subset thereof) is furtherdivided into coding units. Additionally, the mode decision algorithm canselect parameters for each of the coding units. For purposes ofsimplification of explanation, in FIG. 2, only one (1) of the CTUs 102is labeled with a reference number, but each of the CTUs 102 can beimplemented in a similar manner. Each CTU 102 can be implemented as ablock of pixels (e.g., 64×64, 32×32 or 16×16 pixels per CTU). It isnoted that in situations where the frame 100 is encoded (e.g.,compressed) into the MPEG-4 AVC format, each CTU 102 can be processed asa macroblock with 16×16 pixels. The frame 100 can have J number of rowsand K number of columns of CTUs 102, wherein J and K are integersgreater than or equal to two (2). Thus, each CTU 102 can be referencedby a two-dimensional number (x,y) where ‘x’ denotes a row number and ‘y’denotes a column number, which is included in each CTU 102. For example,the CTU illustrated with the reference number 102 can be CTU (1,4).

Each CTU 102 can have a predetermined size that can vary based on theencoder configuration. The size of each CTU 102 is constant for a frame100. In some examples, each CTU 102 can have a size between 16×16 pixelsand 64×64 pixels but the size of a CTU 102 is constant for a given frame100. Some of the CTUs 102 are further divided into CUs (Coding Units) ofsmaller sizes.

The controller 66 can assign each of the video processing engines 52 aset of rows of CTUs 102 to encode. The assignment of the set of rows canbe performed sequentially or semi-sequentially. In the given example,the first video processing engine 54 can be assigned to encode rows 1,4, 7, 10 . . . of the frame 100. Additionally, in the given example, thesecond video processing engine 56 can be assigned to encode rows 2, 5,8, 11 . . . of the frame 100. Similarly, in the given example, the Nthvideo processing engine 58 (the third video processing engine) can beassigned to encode rows 3, 6, 9, 12 . . . of the frame 100. In otherexamples, different sets of rows can be assigned. For instance, in somesituations, consecutive rows can be assigned to the same video processor52. Moreover, in some situations, a given video processing engine 52 maybe assigned more rows for encoding than another video processing engine52 (e.g., unequal distribution of resources).

Each CTU 102 can be assigned a Quantization Parameter (QP) that can beselected by the rate control algorithm of the video processor 50 (e.g.,a video encoder). The QP regulates how much spatial detail is savedwithin a particular CTU 102. In some examples, the QP can be an integerbetween ‘0’ and ‘51’. When the QP is small (e.g., from ‘0’ to about‘10’), almost all detail of a CTU 102 is retained. As the QP isincreased, some of that detail is aggregated so that the bit rate dropsat a cost of some increase in distortion and some loss of quality.

Continuing with the given example, the frame 100 is illustrated ashaving five (5) rows and eight (8) columns. In the given example, eachCTU 102 is either shaded or unshaded. The unshaded CTUs 102 representskip-blocks. For instance, in the first row (row ‘1’) of the frame 100,CTUs (1,6) to (1,8) are each skip blocks. It is noted that although CUscan be skip or non-skip rather than CTUs, for the simplicity ofexplanation it is presumed that CTUs are implemented as skip blocks ornon-skip blocks throughout this disclosure.

A skip block is a CTU 102 where the content of the CTU 102 is staticrelative to a previous frame in a video stream or a video file. In atypical video stream or video file, each of the successive frames willinclude material that does not change from one frame to the next. Forinstance, in animated content (e.g., cartoons) where backgrounds arepartially (or completely) static, only certain portions of a videostream change from one frame to the next. It is noted that each skipblock has an associated QP. However, as described herein, the QP of eachskip block is inherited from a previously encoded QP (e.g., a runningQP), and the QP associated with the skip block is not encoded into theskip block.

Each shaded CTU 102 illustrated in the frame 100 can represent anon-skip block of video data (e.g., dynamic from one frame to the next).A non-skip block of video data is a block of pixels in the frame 100where the content of the CTU 102 is dynamic (e.g., changes) from oneframe to the next in a video stream or video file. The shaded CTUs 102each include an integer denoting a QP encoded for the associated CTU102. It is noted that the values encoded into the non-skip block CTUs102 can be a differential QP, which corresponds to a difference betweenan absolute value for a QP and a current running QP. However, forpurposes of simplification of explanation, throughout this disclosure,in the examples described, it is presumed that the value encoded into aCTU 102 is an absolute value QP, which (as explained herein) may beequal to an estimated QP. For instance, the CTU (1,1) includes theinteger ‘20’, which denotes an encoded QP for the CTU (1,1). The QP forthe first CTU 102 (CTU (1,1) can be set to a default value (‘20’ in thegiven example). Subsequent QPs can be calculated using techniques suchas the Test Model Near Term Version 5 (TMN5) rate control algorithm. Forinstance, in a simplified example, the QP of a CTU can be calculatedusing Equation 1.

QP=QP_(prev)(1+G _(adj) +L _(adj))  Equation 1:

Where in:

-   -   QP is the Quantization Parameter calculated for a given CTU 102;    -   QP_(prev) is the Quantization Parameter calculated for a        previous CTU 102 relative to the given CTU 102, which is also        referred herein to as a “running QP”;    -   G_(adj) is the global adjustment factor for a frame (e.g., the        frame 100) and is defined by Equation 2; and    -   L_(adj) is the local adjustment factor for the CTU 102 and is        defined by Equation 3.

$\begin{matrix}{{G_{adj} = \frac{B_{n_{{- f_{skip}} - 1}} - b_{target}}{2*B_{target}}};} & {{Equation}\mspace{14mu} 2} \\{{L_{adj} = \frac{12*( {B_{n,k} - {\frac{k}{CTU}{Btarget}}} )}{R}};} & {{Equation}\mspace{14mu} 3}\end{matrix}$

Where in:

-   -   B_(n) is the total number of bits needed to encode frame number        ‘n’ (e.g., the frame 100);    -   B_(target) is a selected target number of bits per encoded frame        (e.g., the frame 100);    -   f_(skip) is the number of frames of a video feed to be skipped;    -   R is selected bit rate for an output channel;    -   k is the number of the CTU 102 being encoded;    -   CTU is the total number of CTUs 102 in the frame (e.g., the        frame 100); and    -   b_(target) is the target bitrate of an output buffer.

Thus, in some examples, such as the examples described in Equation 1,the QP of a previous CTU 102 influences the selection of the QP for acurrent CTU 102. For instance, in some examples, the QP of CTU (1,2) is(by employing Equation 1) may be influenced by the QP of CTU (1,1).Additionally, estimation of the QP for a first CTU 102 of a row (otherthan the first CTU 102 of the first row) may be influenced by the lastQP calculated for a CTU 102 of the previous row. It is noted, in thesituation illustrated by the Frame 100, the QP is not encoded for CTUs(1,6)-(1,8), which correspond to skip blocks. Each of the of the CTUs(1,6) to (1,8) can inherit the running QP of ‘20’ (by virtue of theencoding of the estimated QP into CTU (1,5)). Additionally, it is notedthat in other examples, alternate equations could be employed forselecting a QP for a CTU 102. For instance, in some examples, analternate equation for implementing row level QP modulation could beemployed.

The encoding algorithm implemented by the video processor 50 can dictatethat the controller 66 (or other component) maintains a “running QP” foreach row of CTUs 102. The running QP represents the last encoded QP inraster scan order. The running QP can be modified each time a new QP isestimated and encoded for a non-skip block. Each of the skip-blocks in araster-scan order can inherit the running QP for encoding purposes untilanother QP is estimated and encoded for another non-skip block.

In the present encoding algorithm implemented by the video processor 50(e.g., a video encoder), a QP that is estimated (e.g., predicted) for aprevious row of CTUs 102 is set to the actual running QP for the firstCTU 102 of a current row. To accomplish this, the associated videoprocessing engine 52 can cause/force encoding of the estimated QP forthe previous row of CTUs 102 in the frame 100 by designating the firstor last CTU 102 (a CU inside the CTU 102 is coded) of a row as anon-skip block. That is, the associated video processing engine 52 candesignate either the first column 104 or the last column 106 in each rowof CTUs 102 of the frame 100 as a non-skip block.

Designating the last column 106 (last CU of the last CTU 102) of thegiven row as the non-skip block includes advantages over designating thefirst column 104 of the given row as the non-skip block. In particular,to avoid unnecessary calculations and encodings by the associated videoprocessing engine 52 (e.g., a video encoder), the last CTU 102 in a rowof the frame 100 is designated as a non-skip block in situations wherethe running QP is different from the estimated QP. In some examples, tofurther avoid unnecessary calculation and encodings by the associatevideo processing engine 52, the last CTU 102 in a row of the frame 100is designated as a non-skip block only in situations where the runningQP is different from the estimated QP. Additionally, issues related tospatial error propagation (e.g., visual artifacts) can be reduced oreliminated by designating the last CTU 102 in a row of CTUs 102 as thenon-skip block. Thus, for purposes of simplification of explanation,unless otherwise noted, it is presumed that the last column 106 isdesignated as the non-skip block when appropriate.

In the given example, it is presumed that the video processors 52 (videoencoders) implements row level QP modulation, such that each CTU 102 ina row of CTUs 102 have the same QP. However, in other examples, CTUlevel QP modulation could be employed, wherein each CTU 102 in a row ofCTUs 102 can employ a different QP. In the given example, the modedecision algorithm of the video processor 50 (e.g., an encoder) can seta running QP that can be an estimated QP for the first row, and can beemployed as the QP for the first row of CTUs 102, namely CTUs(1,1)-(1,8). In some examples, the estimated QP can be a default QP. Thedefault QP could be, for example, a predetermined QP that can be basedon factors such as an expected average detail in the frame 100, anavailable bandwidth, etc. In other examples, techniques/equations can beemployed to generate the estimated QP for the first row. The QP isestimated for the first row (or any other row) of CTUs 102 prior toencoding the CTUs 102 of a row. In this manner, the estimated QP can beprovided to other video processors 52, as explained herein. It ispresumed that the estimated QP for the first row of CTUs 102 is to ‘20’.The first video processing engine 54 can encode the first row of CTUs102, namely CTUs (1,1) to (1,8). Additionally, the first videoprocessing engine 54 can encode a the estimated QP for the first row(‘20’) into each of the CTUs (1,1) to (1,5). Further, the first videoprocessing engine 54 does not need to designate the last CTU 102 of rowone (1), namely CTU (1,8) as a non-skip block since the running QP isthe same as the estimated QP at the time of encoding the CTU (1,8).

In the given example, concurrently with the encoding of the first row ofCTUs 102 in the frame 100, the second video processing engine 56 candetermine an estimated QP for the second row CTUs 102. In the givenexample, it is presumed that the estimated QP for the second row of CTUs102 is set to ‘25’. Moreover, the second video processing engine 56 canencode the second row of CTUs 102, namely CTUs (2,1) to (2,8) and theestimated QP for the second row (‘25’) can be encoded for CTUs (2,1) to(2,3). In some examples, as noted, the estimated QP for the first row ofthe frame 100 (which is encoded into the CTU (1,5)) can employed toestimate the QP for the second row of CTUs 102. In this manner, thesecond video processing engine 56 does not need to wait (e.g., delay)for encoding of the CTU (1,8) prior to initiation of encoding the secondrow of the CTUs 102 of the frame 100. Rather, the second videoprocessing engine 56 would need merely to delay encoding of the CTUs(2,1)-(2,8) until the estimated QP for the first row of CTUs 102 isreceived/retrieved by the second video processing engine 56.Additionally, the estimated QP for the second row of CTUs 102 (‘25’) forthe frame 100 does not need to be encoded as the running QP for CTU(2,8), since the running QP for the second row is the same as theestimated QP due to the encoding of CTU (2,3). Consequently, the lastCTU 102 of the second row, namely CTU (2,8) does not need to bedesignated as a non-skip block.

Further, concurrently with the encoding of the first and second rows ofthe CTUs 102, in the given example, the Nth (the third) video processingengine 58 can encode the third row of CTUs 102, namely CTUs (3,1) to(3,8). As illustrated, the CTU (3,1) is a skip block. In this situation,the running QP is not changed when CTU (3,1) is encoded. Thus, therunning QP is inherited from the previously encoded QP, which in thepresent example is ‘25’ (from the second row of CTUs 102). Moreover, inthis, the third video processing engine 58 can estimate a QP for thethird row of CTUs 102, which can be set to ‘30’. In some examples, theQP estimated for the third row of CTUs 102 can based on the estimated QPfor the second row (‘25’) of the CTUs 102, which is encoded into CTU(2,3). Moreover, since the running QP for the third row is the same asthe estimated QP at the time of encoding (in raster-scan order) of thelast CTU (3,8) in the third row, and the estimated QP for the third rowis encoded into CTU (3,2), the CTU (3,8) is not designated as a non-skipblock.

Encoding of the fourth row of the CTUs 102 of the frame 100 can beassigned to the first video processing engine 54. As is illustrated, thefourth row of the frame 100 includes only skip blocks. The first videoprocessing engine 54 can employ the estimated QP for the third row ofCTUs 102, (‘30’) to estimate the QP for the fourth row of CTUs 102,which can be set to 35 by the rate control algorithm. In the givenexample, it is presumed that the estimated QP for the fourth row is‘35’. The first video processing engine 54 can set the running QP forthe fourth row equal to the estimate QP for the third row. The firstvideo processing engine 54 can designate the CTU (4,8) (last CU insidethe CTU) as a non-skip block thereby dictating that the first videoprocessing engine 54 encode a QP for CTU (4,8) based on the estimated QPfor the fourth row, and encodes the estimated QP for the fourth row(‘35’) into the CTU (4,8). In FIG. 2, a light shading pattern isemployed to denote that the CTU (4,8) has been designated (e.g., set orforced) as a non-skip block. Additionally, the running QP for the fourthrow of CTUs 102 can be set to the estimated QP for the fourth row.

Concurrently with the encoding of the fourth row of CTUs 102, the secondvideo processing engine 56 can determine an estimated QP for the fifthrow of CTUs 102 in the frame 100. In the given example, it is presumedthat the estimated QP for the fifth row of CTUs 102 is ‘40’.Additionally, the second video processing engine 56 can set a running QPfor the fifth row to the estimated QP for the fourth row of CTUs 102(‘35’). The second video processing engine 56 can encode the fifth rowof CTUs 102 of the frame 100. In this situation, the first videoprocessing engine 54 and second video processing engine 56 can encodefourth and fifth row of CTUs 102 in parallel since, at the end of thefourth row of CTUs 102 running QP will be set (e.g., forced) to theestimated QP of fourth row of CTUs 102. The second video processingengine 56 can employ the QP estimated for the fifth row as the runningQP after encoding of CTUs (5,1) and (5,2). Moreover, the CTU (5,8) isnot designated as a non-skip block since the running QP for the fifthrow of the CTUs 102 would be the same as the estimated QP for the fifthrow of CTUs 102 in the frame 100 when the last CTU (5,8) in the fifthrow is encoded.

In general, the video processor 50 (e.g., a video encoder) cancause/force a video processing engine 52 to encode a QP for at least oneCTU 102 in each row of CTUs 102, even if each of the CTUs 102 in aparticular row would conventionally be designated as skip-blocks. In theexamples described herein, the video processing engines 52 can becaused/forced to encode a QP for the CTUs 102 in the last column 106 ofthe frame 100 in situations where a running QP is different from anestimated QP of a respective row at a time of encoding the CTUs 102 ofthe last column 106 of the respective row.

In some examples, the video processor 50 can implement group CTU rowlevel QP modulation (e.g., groups of rows that have the same QP). Insome cases of group CTU row level QP modulation, only the last CTU of afirst or a last row in the group of rows would need to be designated asthe non-skip block if the running QP is different from the estimated QPat the time of encoding the last column in the group of CTUs. It isnoted that in situations where the same video processing engine 52 isassigned to encode an entire group of rows in raster scan order, it maybe preferable to designate the last (or first) CTU of last row of CTUsin the group of rows as the non-skip block. However, it is noted that insome other cases of group CTU row level QP modulation, such assituations where different rows of the group of rows are encoded bydifferent video processing engines 52 the last (or first) CTU of firstrow of CTUs may be designated as the non-skip block.

Additionally, as noted, in some examples, the video processor 50 (e.g.,a video encoder) can be implemented with CTU level QP modulation. Insuch a situation, consecutive CTUs 102 on the same row can be havediffering QPs. In this situation, a video processing engine 52 candesignate a last (or first) CTU 102 of a given row of CTUs as a non-skipCTU 102 and encode a QP estimated for the given row of QPs into the lastQP of the given row if the running QP is different from the estimated QPfor the given row at a time of encoding the last CTU in the given row.For example, if a previous non-skip CTU 102 of the given row has a QPdifferent than the estimated QP for the given row, the running QP forthe given row can change. Thus, to alleviate this problem in thissituation, the video processing engine 52 (assigned to encode the givenrow of CTUs 102) can designate the last CTU 102 in the given row as anon-skip block, and the estimated QP for the given row is encoded intothe last CTU in the given row. Accordingly, in CTU level QP modulation,there are situations where the last CTU 102 in a row is designated as anon-skip block even when other blocks in the row are also non-skipblocks.

The data encoded by each of the video processing engines 52 can beoutput as output video data 68 that can be stored in the memory 62. Insome examples, the output video data 68 can be provided to an externalsystem, including but not limited to a set-top box, a video screen witha built in decoder, a desktop computer, a tablet computer, a smartphone,etc. By implementing the video processor 50 (e.g., a video encoder) inthis manner, the video processor 50 can implement a multi-core encodingscheme (e.g., the video processing engines 52) that can generate theoutput video data 68 that complies with the HEVC format standard setforth in H.265 or the MPEG-4 AVC format set forth in H.264. Moreover,the video processor 50 can alleviate the dependence of encoding CTUs inraster-scan order, thereby allowing parallel processing of multiple rowsof CTUs 102. In particular, through parallel processing in the mannerdescribed, the multi-core encoding scheme implemented by the videoprocessor 50 can achieve core utilization of up to about 85%.

FIG. 3 illustrates a flow chart of an example of an algorithm for anencoder 200 that could be implemented, for example, by a multiprocessoror multicore processing system, such as the video processor 50 (e.g., anencoder) illustrated in FIG. 1. The algorithm for the encoder 200 can beemployed, for example, to encode (e.g., compress and/or transcode) videodata that is received from an external source into a specific format.Moreover, as described herein, the algorithm for the encoder 200 canefficiently implement parallel processing without undue delay caused byconventional raster-order encoding, while maintaining compliance withthe standards of the specific format such as the HEVC format. As isillustrated in FIG. 3, a time line indicates an order of operations.

At 202, rows (or groups of rows) of CTUs of a frame of video can beassigned (e.g., by the controller 66 of FIG. 1) to different videoprocessing engines (e.g., the video processing engines 52 of FIG. 1) forencoding. In the example described with respect to FIG. 3, it ispresumed that the video processor includes two video processing engines,namely a first and second video processing engine, such as the firstvideo processing engine 54 and the second video processing engine 56illustrated in FIG. 1. However, in other examples, more video processingengines could be implemented. Each video processing engine 52 canexecute a thread that can be executed concurrently with another videoprocessing engine executing another thread to implement the overallalgorithm for the encoder 200. That is, the first video processingengine 54 can execute a first thread of the encoder and the second videoprocessing engine 56 can concurrently execute a second thread of theencoder. It is noted that in the example illustrated in FIG. 3, rowlevel QP modulation is described and illustrated. However, in otherexamples, CTU level QP modulation could be implemented. Additionally,for purposes of simplification of explanation in FIG. 3 is illustratedand described with the presumption that entire CTUs are either skipblocks or non-skip blocks. However, in some examples, CUs (subsets ofCTUs) can be skip or non-skip.

At 204, the first video processing engine (e.g., via a rate controlalgorithm) can estimate a QP for the assigned row of CTUs of the frame.Additionally, at 205, the running QP for the first row of CTUs can beset to the estimated QP for the first row of CTUs. At 206, the firstvideo processor can encode a CTU of the assigned row of CTUs. Details ofthe encoding 206 are described with respect to FIG. 4, which illustratesan expanded view of the operations.

As is illustrated in FIG. 4, point ‘A’ leads to a mode decision 250 bythe first video processing engine as to if and how a CTU is to bedivided into multiple coding units. At 252, the mode decision candetermine whether a current CTU is a skip block. If the determination at252 is positive (e.g., “YES”), the encoding 206 can proceed to 254. Ifthe determination at 250 is negative (e.g., “NO”), the encoding 206 canproceed to 256.

At 254, the first video processing engine can determine whether the CTUis the last CTU of the row. If the determination at 254 is negative(e.g., NO), the encoding 206 can proceed to 258. If the determination at254 is positive (e.g., YES), the encoding 206 can proceed to 260.

At 256, the CTU can be encoded (e.g., compressed) by the first videoprocessing engine and the running QP for the first row of CTUs can beset to the estimated QP for the first row of CTUs. The encoding of theCTU can include encoding the running QP into the CTU. The encoded (e.g.,compressed) data can be stored in the video data. The encoding 206 canproceed to point ‘B’, such that the algorithm of the encoder 200illustrated in FIG. 3 can be continued.

At 258, the first video processing engine can encode the CTU using skipblock encoding techniques. The encoding can be stored in video outputdata (e.g., the video output data 68 illustrated in FIG. 1). Moreover,the encoding 206 can proceed to point ‘B’, such that the encoder 200illustrated in FIG. 3 can be continued.

At 260, the first video processor can determine whether the estimated QPis equal to the running QP. If the determination at 260 is positive(e.g., YES), the encoding 250 can proceed to 258. If the determinationat 260 is negative (e.g., NO), the encoding 250 can proceed to 262. At262, the first video processing engine can force (e.g., designate) theCTU as a non-skip block, and the encoding 206 can proceed to 256. Thus,it is noted, that at 262 and 256, the estimated QP for the last CTU in arow is encoded into the last CTU by setting (e.g., forcing) the last CTUto be a non-skip block even if the last CTU would conventionally be askip-block, providing that the estimated QP is different from therunning QP.

Returning to FIG. 3, at 208, the first video processing engine can makea determination as to whether the encoded CTU is the last CTU in theassigned row of CTUs. If the determination at 208 is positive (e.g.,YES), the algorithm for the encoder 200 can return to 202. If thedetermination at 208 is negative (e.g., NO), the algorithm for theencoder 200 can return to 206.

At 214, the second video processing engine can estimate a QP for thesecond row of CTUs (e.g., via the rate control algorithm). At 215, thesecond video processing engine can set a running QP to the estimated QPfor the first row of CTUs (e.g., more generally, the estimated QP forthe previous row of CTUs of the frame). At 216, the second videoprocessing engine can encode a CTU of the second row of CTUs of theframe. Details of the encoding 216 are described with respect to FIG. 5,which illustrates an expanded view of the operations.

As is illustrated in FIG. 5, point ‘A’ leads to a mode decision 300 bythe second video processing engine as to if and how a CTU is to bedivided into multiple coding units. At 302, the mode decision candetermine whether a current CTU is a skip block. If the determination at302 is positive (e.g., “YES”), the encoding 216 can proceed to 304. Ifthe determination at 302 is negative (e.g., “NO”), the encoding 216 canproceed to 306.

At 304, the first video processing engine can determine whether the CTUis the last CTU of the row. If the determination at 304 is negative(e.g., NO), the encoding 216 can proceed to 308. If the determination at304 is positive (e.g., YES), the encoding 216 can proceed to 310.

At 306, the CTU can be encoded (e.g., compressed) by the second videoprocessing engine and the running QP for the second row of CTUs can beset to the estimated QP for the second row of CTUs. The encoding of theCTU can include encoding the running QP into the CTU. The encoded (e.g.,compressed) data can be stored in the video data. The encoding 216 canproceed to point ‘B’, such that the algorithm of the encoder 200illustrated in FIG. 3 can be continued.

At 308, the second video processing engine can encode the CTU using skipblock encoding techniques. The encoding can be stored in video outputdata (e.g., the video output data 68 illustrated in FIG. 1). Moreover,the encoding 216 can proceed to point ‘B’, such that the algorithm ofthe encoder 200 illustrated in FIG. 3 can be continued.

At 310, the second video processing engine can determine whether theestimated QP is equal to the running QP. If the determination at 310 isnegative (e.g., NO), the encoding 216 can proceed to 312. If thedetermination at 310 is positive (e.g., YES), the encoding 216 canproceed to 308. At 312, the second video processing engine can force(e.g., designate) the CTU as a non-skip block (last CU of the CTU), andthe encoding 216 can proceed to 306. Thus, it is noted that at 312 and306, the estimated QP for the last CTU in a row is encoded into the lastCTU by setting (e.g., forcing) the last CTU to be a non-skip even if thelast CTU would conventionally be a skip-block, providing that theestimated QP is different from the running QP.

Returning to FIG. 3, at 218, the second video processing engine can makea determination as to whether the encoded CTU is the last CTU in theassigned row of CTUs. If the determination at 218 is positive (e.g.,YES), the encoder algorithm 200 can return to 202. If the determinationat 218 is negative (e.g., NO), the encoder algorithm 200 can return to216.

As is illustrated and described with respect to FIG. 3, the second videoprocessing engine does not need to wait idly for the first videoprocessing engine to complete encoding of the entire first row of CTUsprior to initiating encoding of the second row of CTUs. Rather, thesecond video processing engine receives the estimated QP for theprevious row and employs that estimated QP to set a running QP for thesecond row of CTUs. Moreover, as demonstrated, the algorithm for theencoder 200 ensures that the estimated QP for a row is encoded into aCTU of the row. In this manner, efficient parallel processing can beachieved, while maintaining compliance with standards set forth in H.265for the HEVC format or the standards set forth in H.264 for the MPEG-4AVC format.

In view of the foregoing structural and functional features describedabove, an example method will be better appreciated with reference toFIG. 6. While, for purposes of simplicity of explanation, the examplemethod of FIG. 6 is shown and described as executing both serially andin parallel, it is to be understood and appreciated that the presentexamples are not limited by the illustrated order, as some actions couldin other examples occur in different orders, multiple times and/orconcurrently from that shown and described herein. Moreover, it is notnecessary that all described actions be performed to implement a method.The example method of FIG. 6 can be implemented as instructions storedin an IC chip (e.g., as firmware) that are executable by a processor(e.g., a microcontroller, such as a video encoder) and/or as logic(e.g., an FPGA).

FIG. 6 illustrates an example of a method 400 for encoding a frame of avideo (e.g., a video stream or a video file). The method 400 can beimplemented by a multi-processor and/or a multi-core processing system,such as the video processor 50 (e.g., a video encoder) illustrated inFIG. 1.

At 410, a controller (e.g., the controller 66 of FIG. 1) can assign rowsof CTUs of the frame to different video processing engines of the videoprocessor. In the example method 400, two such video processing engines,namely a first video processing engine and a second video processingengine, such as the first video processing engine 54 and the secondvideo processing engine 56 illustrated in FIG. 1 are employed. Thus, inthe present example, it is presumed that the controller assigns thefirst row of CTUs of the frame to the first video processing engine andthe controller assigns the second row of CTUs to the frame to the secondvideo processing engine.

At 420, the first video processing engine can estimate a QP for thefirst row of CTUs in the frame. The estimated QP could be, for example adefault QP. At 425, the first video processing engine can set therunning QP for the first row of CTUs to the estimated QP for the firstrow of CTUs. The estimated QP can be output to the second videoprocessing engine. At 430, the first video processing engine can encodeeach CTU in the first row of CTUs in the frame. The CTUs of the firstrow can be encoded in a manner that ensures that the estimated QP forthe first row of CTUs is encoded into a CTU of the first row, asdescribed herein. At 440, a determination can be made by the first videoprocessing engine as to whether a running QP (that may or may not havebeen updated during the encoding at 430) is different from the estimatedQP for the first row of CTUs. If the determination at 440 is negative(e.g., NO), the method 400 can return to 410. If the determination at440 is positive (e.g., YES), the method 400 can proceed to 450. At 450,in some examples, the estimated QP can be encoded into the last CTU ofthe first row as the running QP. As an alternative, in some examples,the estimated QP can be encoded into the first CTU of the first row ofCTUs. In such a situation, the first CTU 102 of each row is set (e.g.,forced) set to a non-skip block if the estimated QP for the current rowis different from estimated QP for the previous row. The method canreturn to 410.

At 455, the second video processing engine can estimate a QP for thesecond row of CTUs in the frame. The estimated QP could be, for examplea default QP. At 460, the second video processing engine can set arunning QP for the second row of CTUs to the estimated QP for the firstrow of CTUs. At 465, the second video processing engine can encode eachCTU in the second row of CTUs in the frame. As noted, the encoding at465 can be implemented in a manner that ensures that the estimated QPfor the second row of CTUs is encoded into a CTU of the second row, asdescribed herein. At 470, a determination can be made by the secondvideo processing engine as to whether a running QP (that may or may nothave been updated during the encoding at 465) is different from theestimated QP for the second row of CTUs. If the determination at 470 isnegative (e.g., NO), the method 400 can return to 410. If thedetermination at 470 is positive (e.g., YES), the method 400 can proceedto 480. At 480, in some examples, the estimated QP can be encoded intothe last CTU of the second row as the running QP. As an alternative, insome examples, the estimated QP can be encoded into the first CTU of thesecond row of CTUs. In this example, first CTU of each row is set (e.g.,forced) to non-skip if the estimated QP for the current row is differentfrom estimated QP for the previous row.

What have been described above are examples. It is, of course, notpossible to describe every conceivable combination of components ormethodologies, but one of ordinary skill in the art will recognize thatmany further combinations and permutations are possible. Accordingly,the disclosure is intended to embrace all such alterations,modifications, and variations that fall within the scope of thisapplication, including the appended claims. As used herein, the term“includes” means includes but not limited to, the term “including” meansincluding but not limited to. The term “based on” means based at leastin part on. Additionally, where the disclosure or claims recite “a,”“an,” “a first,” or “another” element, or the equivalent thereof, itshould be interpreted to include one or more than one such element,neither requiring nor excluding two or more such elements.

What is claimed is:
 1. A system comprising: a given video processingengine to: determine an estimated Quantization Parameter (QP) for agiven row of Coding Tree Units (CTUs) in a frame of a video; and encodethe given row of CTUs in the frame of the video, wherein a CTU in thegiven row of CTUs is encoded with a QP equal to the estimated QP; andanother video processing engine to: determine an estimated QP foranother row of CTUs of the frame of the video; set a running QP to theestimated QP for the given row of CTUs prior to the given videoprocessor encoding a last CTU in the given row of CTUs; and encode theother row of CTUs, wherein CTUs encoded by the given video processingengine and the other video processing engine are stored in anon-transitory machine readable medium.
 2. The system of claim 1,wherein each CTU defines a portion of pixels in the frame of the video.3. The system of claim 2, wherein each of the CTUs in the given row ofCTUs define skip blocks.
 4. The system of claim 2, wherein the estimatedQP is encoded as a running QP into a last CTU of the given row of CTUs.5. The system of claim 2, wherein a last non-skip block CTU of the givenrow of CTUs is encoded with a QP equal to the estimated QP for the givenrow of CTUs.
 6. The system of claim 2, wherein the given video processoris further to designate the last CTU of the given row of CTUs as anon-skip block and encode the last CTU of the row of CTUs with a QPequal to the estimated QP for the given row of CTUs.
 7. The system ofclaim 2, wherein the given video processing engine and the other videoprocessing engines operate in parallel.
 8. The system of claim 1,wherein the given video processing engine and the other video processingengine are implemented on a common integrated circuit (IC) chip.
 9. Thesystem of claim 1, wherein the given video processing engine and theother video processing engines are implemented on separate integratedcircuit (IC) chips.
 10. The system of claim 1, wherein the encoding ofthe given and the other row of CTUs conforms to the High EfficiencyVideo Coding (HEVC) format or the Moving Pictures Experts Group 4(MPEG-4) Advance Video Coding (AVC) format.
 11. The system of claim 10,wherein the encoding of the given row and the other row further complieswith standards set forth in ITU-T H.265 or H.264.
 12. The system ofclaim 1, wherein the given row and the other row are each groups of rowsof CTUs of the frame.
 13. A non-transitory machine readable mediumhaving instructions for implementing a method, the method comprising:encoding, at the given video processing engine, a Quantization Parameter(QP) equal into an estimated QP for a given row of Coding Tree Units(CTUs) of a video frame into a CTU of the given row of CTUs; estimating,at another video processing engine, a QP for another row of CTUs of thevideo frame; and setting, at the other video processing engine, arunning QP for the other row of CTUs to the estimated QP for the givenrow of CTUs; encoding, at the other video processing engine, the otherrow of CTUs, wherein the encoding of the other row of CTUs is initiatedprior to completion of the encoding of the given row of CTUs; whereinCTUs encoded by the given video processing engine and the other videoprocessing engine are stored in a non-transitory memory.
 14. The mediumof claim 13, wherein each CTU in the given row of CTUs defines askip-block.
 15. The medium of claim 13, further comprising encoding theestimated QP for the given row of CTUs into a last CTU of the given rowof CTUs in response to determining that a running QP for the given rowof CTUs is different from the estimated QP for the given row of CTUs.16. The medium of claim 13, wherein the given video processing engineand the other video processing engines are each implemented as processorcores on a common integrated circuit (IC) chip.
 17. The medium of claim13, wherein the encoding performed by the given video processing engineand the second video processing engine complies with the High EfficiencyVideo Coding (HEVC) format or the Moving Pictures Experts Group 4(MPEG-4) Advance Video Coding (AVC) format.
 18. The medium of claim 13,wherein the CTUs encoding by the given video processing engine and theother processing engine are encoded in a row level QP modulation scheme.19. The medium of claim 18, wherein the given row and the other row areeach groups of rows of CTUs of the frame.
 20. The medium of claim 13,wherein the CTUs encoding by the given video processing engine and theother processing engine are encoded in a CTU level QP modulation scheme.21. A method comprising: setting a running quantization parameter (QP)for a given row of Coding Tree Units (CTUs) of a video frame to anestimated QP for another row of CTUs of the video frame; encoding thegiven and the other rows of CTUs concurrently, wherein a QP equal to theestimated QP for the other row of CTUs is encoded into a CTU of theother row of CTUs; and storing the encoded CTUs into a non-transitorymachine readable medium.
 22. The method of claim 20, wherein the encodedCTUs complies with the High Efficiency Video Coding (HEVC) format or theMoving Pictures Experts Group 4 (MPEG-4) Advance Video Coding (AVC)format.
 23. The method of claim 20, wherein each row of encoded CTUsincludes a QP encoded into a CTU in the encoded row of CTUs.